Ontraport MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Ontraport through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"ontraport": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Ontraport, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Ontraport MCP Server
Connect your Ontraport account to any AI agent and take full control of your business automation workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Ontraport through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Contact Management — List, retrieve, and create contacts to maintain your CRM data effortlessly.
- Campaign & Sequence Tracking — List marketing campaigns and automation sequences to oversee your customer journeys.
- Sales Monitoring — List transactions and track sales performance in real-time.
- Content Oversight — List landing pages, forms, and messages to maintain a bird's-eye view of your marketing assets.
- Task Management — List assigned tasks to stay on top of your team's operational needs.
The Ontraport MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Ontraport to LangChain via MCP
Follow these steps to integrate the Ontraport MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Ontraport via MCP
Why Use LangChain with the Ontraport MCP Server
LangChain provides unique advantages when paired with Ontraport through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Ontraport MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Ontraport queries for multi-turn workflows
Ontraport + LangChain Use Cases
Practical scenarios where LangChain combined with the Ontraport MCP Server delivers measurable value.
RAG with live data: combine Ontraport tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Ontraport, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Ontraport tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Ontraport tool call, measure latency, and optimize your agent's performance
Ontraport MCP Tools for LangChain (10)
These 10 tools become available when you connect Ontraport to LangChain via MCP:
create_contact
Create a new contact
get_contact
Get details for a specific contact
list_campaigns
List marketing campaigns
list_contacts
List Ontraport contacts
list_forms
List lead capture forms
list_landing_pages
List Ontraport landing pages
list_messages
List email/SMS messages
list_sequences
List automation sequences
list_tasks
List assigned tasks
list_transactions
List sales transactions
Example Prompts for Ontraport in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Ontraport immediately.
"List the last 5 contacts added to my Ontraport account."
"Check the status of my active marketing campaigns."
"List all sales transactions from today."
Troubleshooting Ontraport MCP Server with LangChain
Common issues when connecting Ontraport to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOntraport + LangChain FAQ
Common questions about integrating Ontraport MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Ontraport with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Ontraport to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
